code: def reduce(self, l, r):
      return [l[0] + r[0], l[1] + r[1]]
  
file_path: h2o-3/h2o-py/tests/testdir_algos/isotonic/pyunit_isotonic_custom_metric.py
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.gbm import H2OGradientBoostingEstimator
  from h2o.estimators.isotonicregression import H2OIsotonicRegressionEstimator
label_desc: Use image node_id 2 for calling the CustomLoglossFunc obj's underlying member method code with example usage: obj.reduce(l, r) and returns: list